Focus on hiring and supporting diverse talent.

Too often when organizations seek to hire talent in the AI space, they assume they should focus on a couple of schools. In our experience, robust, secure, scalable, and human-centred AI systems are ones that incorporate varied perspectives and data. AI systems learn from examples, so it helps to have a diverse team that can bring different lenses to a problem and identify appropriate datasets to train the AI system on. 

It is therefore critical to consider who can help translate across these different roles or how teams invest time in developing shared language over time.